code: def from_json(self, data_json):
      self._new_columns = data_json.get("new_columns", None)
      self._uniq_values = data_json.get("unique_values", None)
      self._old_column = data_json.get("old_column", None)
  
      if (
          "True" in self._uniq_values
          and "False" in self._uniq_values
          and len(self._uniq_values) == 2
      ):
          self._uniq_values = [False, True]
  
file_path: mljar-supervised/supervised/preprocessing/label_binarizer.py
imports: import json
  import numpy
label_desc: Use image node_id 6 for calling the LabelBinarizer obj's underlying member method code with example usage: obj.from_json(data_json) without return types